GEPETO: A GEoPrivacy-Enhancing TOolkit. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (AINA Workshops, 2010)

Show Me How You Move and I Will Tell You Who You Are. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (Trans. Data Priv., 2011)

Next place prediction using mobility Markov chains. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (MPM@EuroSys, 2012)

MapReducing GEPETO or Towards Conducting a Privacy Analysis on Millions of Mobility Traces. - Sébastien Gambs; Marc-Olivier Killijian; Izabela Moise; Miguel Núñez del Prado Cortez (IPDPS Workshops, 2013)

Attaques d'inférence sur des bases de données géolocalisées. (Inference attacks on geolocated data). - Miguel Núñez del Prado Cortez (2013)

Geo-Location Inference Attacks: From Modelling to Privacy Risk Assessment (Short Paper). - Miguel Núñez del Prado Cortez; Jesus Friginal (EDCC, 2014)

Quality Metrics for Optimizing Parameters Tuning in Clustering Algorithms for Extraction of Points of Interest in Human Mobility. - Miguel Núñez del Prado Cortez; Hugo Alatrista Salas (SIMBig, 2014)

De-anonymization attack on geolocated data. - Sébastien Gambs; Marc-Olivier Killijian; Miguel Núñez del Prado Cortez (J. Comput. Syst. Sci., 2014)

Measuring churner influence on pre-paid subscribers using fuzzy logic. - Louise Columelli; Miguel Núñez del Prado Cortez; Leoncio Zarate-Gamarra (CLEI, 2016)

Toward a route detection method base on detail call records. - Hadrien Hendrikx; Miguel Núñez del Prado Cortez (LA-CCI, 2016)

Administrative Regions Discovery Based on Human Mobility Patterns and Spatio-Temporal Clustering. - Miguel Núñez del Prado Cortez; Hugo Alatrista-Salas (MASS, 2016)

Knowledge Tier Platform for Graph Mining in (Smart) Cities. - Miguel Núñez-del-Prado; Edgardo Bravo; Miguel Sierra; Isaias Hoyos; Miguel Canchay (SIMBig, 2016)

DAZIO: Detecting Activity Zones based on Input/Output Call and SMS Activity. - Miguel Núñez-del-Prado; Ana Luna; Romain Gauthier (SIMBig, 2016)

Measuring the gender discrimination: A machine learning approach. - Hugo Alatrista-Salas; Bruno Esposito; Miguel Núñez-del-Prado; Maria Valdivieso (LA-CCI, 2017)

Toward a Privacy-aware Data Collector for Economic and Urban Analytics. - Miguel Núñez-del-Prado; Bruno Esposito; Ana Luna (SIMBig, 2017)

Privacy-Aware Data Gathering for Urban Analytics. - Miguel Núñez-del-Prado; Bruno Esposito; Ana Luna; Juandiego Morzan (SIMBig (Revised Selected Papers), 2017)

Towards the adaptation of SDC methods to stream mining. - David Martínez Rodríguez; Jordi Nin; Miguel Núñez-del-Prado (Comput. Secur., 2017)

Measuring the Resilience of the Transport Infrastructure in Big Cities. - Hugo Alatrista-Salas; Miguel Núñez-del-Prado; Guillermo Rodríguez (LA-CCI, 2018)

Documents Retrieval for Qualitative Research: Gender Discrimination Analysis. - Hugo Alatrista-Salas; Pilar Hidalgo-León; Miguel Núñez-del-Prado (LA-CCI, 2018)

On the Application of SDC Stream Methods to Card Payments Analytics. - Miguel Núñez del Prado Cortez; Jordi Nin (MDAI, 2018)

DETECTOR: Automatic Detection System for Terrorist Attack Trajectories. - Isaias Hoyos; Bruno Esposito; Miguel Núñez-del-Prado (SIMBig, 2018)

Thought Off-line Sanitization Methods for Bank Transactions. - Isaias Hoyos; Miguel Núñez-del-Prado (SIMBig, 2018)

Extreme Climate Event Detection Through High Volume of Transactional Consumption Data. - Hugo Alatrista-Salas; Mauro León-Payano; Miguel Núñez-del-Prado (ADBIS (Short Papers and Workshops), 2019)

Detecting Anomalies in Time-Varying Media Crime News Using Tensor Decomposition. - Hugo Alatrista-Salas; Pablo Lavado; Juandiego Morzan; Miguel Núñez-del-Prado; Gustavo Yamada (SIMBig, 2019)

Big Data Recommender System for Encouraging Purchases in New Places Taking into Account Demographics. - Hugo Alatrista-Salas; Isaias Hoyos; Ana Luna; Miguel Núñez-del-Prado (SIMBig, 2019)

Come with Me Now: New Potential Consumers Identification from Competitors. - Hugo Alatrista-Salas; Miguel Núñez-del-Prado; Victoria Zevallos (SIMBig, 2019)

Privacy Preservation and Inference with Minimal Mobility Information. - Julián Salas; Miguel Núñez-del-Prado (SIMBig, 2019)

PS I Love You: Privacy Aware Sentiment Classification. - Hugo Alatrista Salas; Hugo Cordero; Miguel Núñez-del-Prado (Computación y Sistemas, 2019)

DYVIC: DYnamic VIrus Control in Peru. - Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas; Kevin Barrena; Eleni Linos; Miguel Núñez-del-Prado; Alvaro Talavera (BIBM, 2020)

Efficiently Mining Gapped and Window Constraint Frequent Sequential Patterns. - Hugo Alatrista-Salas; Agustin Guevara-Cogorno; Yoshitomi Maehara; Miguel Núñez-del-Prado (MDAI, 2020)

Data Driven Policy Making: The Peruvian Water Resources Observatory. - Giuliana Barnuevo; Elsa Galarza; Maria Paz Herrera; Juan G. Lazo Lazo; Miguel Núñez-del-Prado; José Luis Ruiz (SIMBig, 2020)

Analysis of the Health Network of Metropolitan Lima Against Large-Scale Earthquakes. - Miguel Núñez-del-Prado; John Barrera (SIMBig, 2020)

Impact of natural disasters on consumer behavior: case of the 2017 El Nino phenomenon in Peru. - Hugo Alatrista-Salas; Vincent Gauthier; Miguel Núñez-del-Prado; Monique Becker (CoRR, 2020)

Tourism Mobility Modeling based on Credit and Debit Card Transactions. - Leibnitz-Pavel Rojas-Bustamante; Hugo Alatrista-Salas; Miguel Núñez-del-Prado; Joseph Chamorro Gómez (CLEI, 2021)

Are Sequential Patterns Shareable? Ensuring Individuals' Privacy. - Miguel Núñez del Prado Cortez; Julián Salas; Hugo Alatrista-Salas; Yoshitomi Maehara; David Megías 001 (MDAI, 2021)

Government Public Services Presence Index Based on Open Data. - Miguel Núñez-del-Prado; Leibnitz-Pavel Rojas-Bustamante (SIMBig, 2021)

Toward a Comparison of Classical and New Privacy Mechanism. - Daniel Heredia-Ductram; Miguel Núñez-del-Prado; Hugo Alatrista-Salas (Entropy, 2021)

Geolocated Data Generation and Protection Using Generative Adversarial Networks. - Hugo Alatrista-Salas; Peter Montalvo-Garcia; Miguel Núñez-del-Prado; Julián Salas (MDAI, 2022)

Profiling Public Service Accessibility Based on the Public Transport Infrastructure. - Leibnitz-Pavel Rojas-Bustamante; Crayla Alfaro; Ivan Molero; Dennis Aparicio; Miguel Núñez-del-Prado (SIMBig, 2022)

Predicting Next Whereabouts Using Deep Learning. - Ana Paula Galarreta; Hugo Alatrista-Salas; Miguel Núñez-del-Prado (MDAI, 2023)

Revisiting online anonymization algorithms to ensure location privacy. - Miguel Núñez-del-Prado; Jordi Nin (J. Ambient Intell. Humaniz. Comput., 2023)

Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep Learning Analysis for Targeted Vector Surveillance. - Fedra Trujillano; Gabriel Jimenez Garay; Hugo Alatrista-Salas; Isabel Byrne; Miguel Núñez-del-Prado; Kallista Chan; Edgar Manrique; Emilia Johnson; Nombre Apollinaire; Pierre Kouame Kouakou; Welbeck A. Oumbouke; Alfred B. Tiono; et al. (Remote. Sens., 2023)

Recommender systems using temporal restricted sequential patterns. - Ana Paula Galarreta; Hilda Samamé; Yoshitomi Maehara; Miguel Núñez-del-Prado; Hugo Alatrista-Salas (J. Ambient Intell. Humaniz. Comput., 2023)

The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries. - Wenlan Zhang; Miguel Núñez-del-Prado; Vincent Gauthier; Sveta Milusheva (CoRR, 2024)

Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion:A Case Study on COVID-19 Mobility in Peru. - Chuan Li; Jiang You; Hassine Moungla; Vincent Gauthier; Miguel Núñez del Prado Cortez; Hugo Alatrista-Salas (CoRR, 2025)